PRNU (Photo Response Non-Uniformity) is widely considered a unique and reliable fingerprint for camera identification. Such a fingerprint is used as evidence in court for forgery detection. The PRNU patterns of two different sensors are always uncorrelated. Recently, there have been enormous advancements in smartphone cameras, primarily because most of the pictures are captured by smartphones. The introduction of software features like Portrait, AI effect, HDR10+, Scene Recognition, EIS(Electronic Image Stabilization), Etc., which come under the umbrella term 'computational photography,' have significantly improved the camera performance. However, these features have a significant impact on the PRNU fingerprint. PRNU patterns of such smartphones exhibit unexpectedly high (cross) correlations, leaving a question mark on the uniqueness of such a fingerprint.